Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...

The Tampa Bomb Squad was brought in to conduct a "safety sweep" in Polk County after a car was found with multiple weapons and ammunition. The Haines City Police Department said the investigation ...

SEOUL, Dec 2 (Reuters) - Samsung Electronics (005930.KS), opens new tab unveiled on Tuesday its first multi-folding smartphone, in a bid to strengthen its position in a sector of the phone market ...

I would like to request clarification on the scope of “visible label” in SC 2.5.3 Label in Name, as we are encountering different interpretations in real-world projects. There is one visible text ...

Oct 31 (Reuters) - Perplexity will display pictures from Getty Images across its AI search and discovery tools under a multi-year deal that sent the visual content company's shares (GETY.N), opens new ...

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...

Forbes contributors publish independent expert analyses and insights. Jared is attorney for music, entertainment, and digital media. The hip-hop rivalry between Kendrick Lamar and Drake may be ...

ABSTRACT: The quantification and evaluation of ecosystem services represent key drivers for the sustainable development of human activities, particularly within the framework of natural capital ...

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...